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South African Geographical Journal Volume 103, 2021 - Issue 2
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Articles

Soil erosion risk assessment in the Umzintlava catchment (T32E), Eastern Cape, South Africa, using RUSLE and random forest algorithm

Kwanele Phinzia Doctoral School of Earth Sciences, Department of Physical Geography and Geoinformatics, University of Debrecen, Debrecen, HungaryCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1865-7011View further author information
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Njoya Silas Ngetarb School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Durban, South AfricaORCID Iconhttps://orcid.org/0000-0003-1230-6683View further author information
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Osadolor Ebhuomac School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Westville, South AfricaORCID Iconhttps://orcid.org/0000-0002-4775-0584View further author information
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Pages 139-162 | Received 03 Jun 2019, Accepted 13 Jan 2020, Published online: 21 Jan 2020

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Chahrazed Salhi, Bénina Touaibia, Ayoub Zeroual, Nadjia Benblida & Ali Assani. (2022) Evaluation of soil erosion in Northern Algeria watershed using SWAT and RUSLE models. Geocarto International 37:26, pages 11559-11589.
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Articles from other publishers (22)

Tatenda Musasa, Timothy Dube & Thomas Marambanyika. (2023) Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges. International Soil and Water Conservation Research.
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Muhammad Jamal Nasir, Said Alam, Waqas Ahmad, Sayed M. Bateni, Javed Iqbal, Mansour Almazroui & Burhan Ahmad. (2023) Geospatial soil loss risk assessment using RUSLE model: a study of Panjkora River Basin, Khyber Pakhtunkhwa, Pakistan. Arabian Journal of Geosciences 16:7.
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Safwan Mohammed, Ali Jouhra, Glory O. Enaruvbe, Bashar Bashir, Mona Barakat, Firas Alsilibe, Luc Cimusa Kulimushi, Abdullah Alsalman & Szilárd Szabó. (2023) Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria. Land Degradation & Development 34:10, pages 2896-2911.
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Khabat Khosravi, Fatemeh Rezaie, James R. Cooper, Zahra Kalantari, Soroush Abolfathi & Javad Hatamiafkoueieh. (2023) Soil water erosion susceptibility assessment using deep learning algorithms. Journal of Hydrology 618, pages 129229.
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Mohammadtaghi Avand, Maziar Mohammadi, Fahimeh Mirchooli, Ataollah Kavian & John P. Tiefenbacher. (2022) A New Approach for Smart Soil Erosion Modeling: Integration of Empirical and Machine-Learning Models. Environmental Modeling & Assessment 28:1, pages 145-160.
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Ahmed Barakat, Mouadh Rafai, Hassan Mosaid, Mohammad Shakiul Islam & Sajjad Saeed. (2022) Mapping of Water-Induced Soil Erosion Using Machine Learning Models: A Case Study of Oum Er Rbia Basin (Morocco). Earth Systems and Environment 7:1, pages 151-170.
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Sunil Saha, Debabrata Sarkar & Prolay Mondal. (2022) Assessing and mapping soil erosion risk zone in Ratlam District, central India. Regional Sustainability 3:4, pages 373-390.
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Osadolor Ebhuoma, Michael Gebreslasie, Njoya Silas Ngetar, Kwanele Phinzi & Shwarnali Bhattacharjee. (2022) Soil Erosion Vulnerability Mapping in Selected Rural Communities of uThukela Catchment, South Africa, Using the Analytic Hierarchy Process. Earth Systems and Environment 6:4, pages 851-864.
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Salifou Noma Adamou, Abdelali Gourfi, Amadou Abdourhamane Touré & Lahcen Daoudi. (2022) Érosion hydrique au sud-ouest du Niger : impacts des facteurs naturels et anthropiques sur les pertes en solsWater erosion in south-western Niger: impacts of natural and anthropogenic factors on soil losses. Géomorphologie : relief, processus, environnement 28:2, pages 77-92.
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Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, Safae Ijlil, Narjisse Essahlaoui, Sk Ajim Ali, Ali Essahlaoui, Quoc Bao Pham, Mirza Waleed, Sasi Kiran Palateerdham & Ana Cláudia Teodoro. (2022) Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale. ISPRS International Journal of Geo-Information 11:7, pages 401.
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Ying Wu & Pengzhen Lu. (2022) Comparative Analysis and Evaluation of Bridge Construction Risk with Multiple Intelligent Algorithms. Mathematical Problems in Engineering 2022, pages 1-12.
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Gouranga Biswas & Anuradha Sengupta. (2022) Assessment of agricultural prospects in relation to land use change and population pressure on a spatiotemporal framework. Environmental Science and Pollution Research 29:28, pages 43267-43286.
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Halil Aytop & Suat Şenol. (2022) The effect of different land use planning scenarios on the amount of total soil losses in the Mikail Stream Micro-Basin. Environmental Monitoring and Assessment 194:5.
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Yashon O. Ouma, Lone Lottering & Ryutaro Tateishi. (2022) Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI). Remote Sensing 14:2, pages 348.
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Jatan Debnath & Nibedita Das. 2022. Geospatial Technology for Environmental Hazards. Geospatial Technology for Environmental Hazards 75 96 .
Abdeldjalil Goumrasa, Mostefa Guendouz, Mohamed Said Guettouche, Djamal Akziz & Hamza Bouguerra. (2021) Spatial assessment of water erosion hazard in Chiffa wadi watershed and along the first section of the Algerian North-South highway using remote sensing data, RUSLE, and GIS techniques. Arabian Journal of Geosciences 14:20.
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David Gwapedza, Denis Arthur Hughes, Andrew Robert Slaughter & Sukhmani Kaur Mantel. (2021) Temporal Influences of Vegetation Cover (C) Dynamism on MUSLE Sediment Yield Estimates: NDVI Evaluation. Water 13:19, pages 2707.
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Kwanele Phinzi, Dávid Abriha & Szilárd Szabó. (2021) Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems. Remote Sensing 13:15, pages 2980.
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David Gwapedza, Namso Nyamela, Denis Arthur Hughes, Andrew Robert Slaughter, Sukhmani Kaur Mantel & Benjamin van der Waal. (2021) Prediction of sediment yield of the Inxu River catchment (South Africa) using the MUSLE. International Soil and Water Conservation Research 9:1, pages 37-48.
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Kwanele Phinzi, Imre Holb & Szilárd Szabó. (2021) Mapping Permanent Gullies in an Agricultural Area Using Satellite Images: Efficacy of Machine Learning Algorithms. Agronomy 11:2, pages 333.
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Lachezar Filchev & Vasil Kolev. 2021. Recent Technologies for Disaster Management and Risk Reduction. Recent Technologies for Disaster Management and Risk Reduction 377 430 .
Kwanele Phinzi, Dávid Abriha, László Bertalan, Imre Holb & Szilárd Szabó. (2020) Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. ISPRS International Journal of Geo-Information 9:4, pages 252.
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